• Stars
    star
    2
  • Language
    Jupyter Notebook
  • Created almost 2 years ago
  • Updated almost 2 years ago

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

More Repositories

1

QuantitativeDerivativeModels

Jupyter Notebook
44
star
2

InterestRateModelsCpp

C++
22
star
3

MonteCarlo-MeanReversionTrading

Python
18
star
4

StochasticModelsAssetPricing

Python
17
star
5

Python-For-Quants

Python
16
star
6

MultiLangMonteCarloSim

Rust
11
star
7

Topological-Risk-Measure-for-Equities

Python
9
star
8

Financial-Statement-Analysis-using-Python

Jupyter Notebook
9
star
9

FXQuantPricing-Cpp

C++
8
star
10

Intrinsic-Value-of-stocks

Config files for my GitHub profile.
Jupyter Notebook
8
star
11

Portfolio-Management-Analysis-and-Optimization-using-Python

Jupyter Notebook
7
star
12

Nth-to-Deafult-CDO-Pricing-using-MC-with-Gaussian-Capula-Model

Python
7
star
13

Investment-Portfolio-Optimisation

Hi, Do you have some savings and you wants to invest in shares but do not have any idea of how much shares to buy of which company with the minimal risk and highest return. Here you can calculate your discrete allocation of portfolio means your investment
Jupyter Notebook
7
star
14

Short-Interest-Rate-Model-Calibration

Jupyter Notebook
6
star
15

R-for-Quants

R
6
star
16

Risk-Management-Analysis-using-python-VaR-

Calculating future value at risk for Tesla stocks using historical bootstrp method.
Jupyter Notebook
6
star
17

Time-difference-between-Julia-and-Python-for-option-price-valuation-

Python
5
star
18

Counterparty-Credit-Risk-Model-Validation

Jupyter Notebook
5
star
19

Interest-rate-stochastic-models-prediction-

Python
5
star
20

-Yield-Curve-Construction-and-IR-Analysis

Python
5
star
21

Financial-Engineering-Codes

Jupyter Notebook
4
star
22

QuantConnect-Trading

Python
4
star
23

Stochastic_Calculus_For_Quants

4
star
24

Interactions-among-default-risk-output-and-an-equilibrium-interest-rate

The model describes interactions among default risk, output, and an equilibrium interest rate that includes a premium for endogenous default risk. The decision maker is a government of a small open economy that borrows from risk-neutral foreign creditors. The foreign lenders must be compensated for default risk. The government borrows and lends abroad in order to smooth the consumption of its citizens. The government repays its debt only if it wants to, but declining to pay has adverse consequences. The interest rate on government debt adjusts in response to the state-dependent default probability chosen by government. The model yields outcomes that help interpret sovereign default experiences, including countercyclical interest rates on sovereign debt countercyclical trade balances high volatility of consumption relative to output Notably, long recessions caused by bad draws in the income process increase the government’s incentive to default. This can lead to spikes in interest rates temporary losses of access to international credit markets large drops in output, consumption, and welfare large capital outflows during recessions Such dynamics are consistent with experiences of many countries.
Jupyter Notebook
4
star
25

Forex-Stochastic-Model

Python
3
star
26

Bond-Analytics-Wrapper

C++
3
star
27

Statistics-For-Quants

3
star
28

Scenario-and-Stress-Testing-Analysis-

R
3
star
29

Markov_Quant_Trading

3
star
30

Quantitative-Backtest

Python
3
star
31

AIM-IT4

3
star
32

PPNR-Model-development-and-prediction-using-LSTM-

Jupyter Notebook
3
star
33

Exploratory-Data-Analysis

Jupyter Notebook
3
star
34

EconTracker

Python
3
star
35

Yield-Curve-Construction-Using-Nelson-Siegel-Model

R
3
star
36

Bullet-Ladder-strategy-for-a-bond-portfolio

Python
3
star
37

Stochastic-Volatility-and-RSI-Based-Trading-Strategy-

Python
2
star
38

learning

Jupyter Notebook
2
star
39

Econometrics-in-R

Jupyter Notebook
2
star
40

Financial-Analytics-Assignment-1-AR-1-Model-

Jupyter Notebook
2
star
41

Financial-Econometrics-Resources

2
star
42

Libor-Market-Model-in-R

R
2
star
43

Hedging-with-the-Black-Scholes-model

Python
2
star
44

FX-Swap-Credit-Exposure-Simulation

Python
2
star
45

Semi-Markov-Regime-Switching-Model

Python
2
star
46

Simple-RSI-strategy-on-TESLA-

Python
2
star
47

YouTubeGPT

Python
2
star
48

Interest-Rate-Caps-and-Floors-Valuations

Python
2
star
49

Calculating-CVA-Using-Merton-and-Credit-Model

Python
2
star
50

LegalAI

Python
2
star
51

Ph.D-Job-Interview-Resourses

Jupyter Notebook
2
star
52

Geometric-Brownian-Paths-and-Corresponding-Greeks

Python
2
star
53

Option-pricing-using-Monte-Carlo-Simulation

Python
2
star
54

AnimalAI-App

Python
2
star
55

Prediction-of-iris-data-sets-using-decision-tree-ML-model

Jupyter Notebook
2
star
56

IIM-Data-Science-Notebooks

Here you can see the codes executed by me during my summer internship in IIM Shillong
Jupyter Notebook
2
star
57

Optimum-number-of-clusters-using-python

Jupyter Notebook
2
star
58

GATE-Economics-Resources

2
star
59

DSA-Codes

Here you can find codes of all data structures and algorithm using C++
2
star
60

CustomDerivative

R
2
star
61

Mathematical-Finance-Cheat-sheet

2
star
62

ConvertibleBondMonteCarloSim

Python
2
star
63

Heart-Attack-Prediction-Using-ML

Deployed All Ml algorithms to predict whether patient will have heart disease or not.The best model is logistic regression with approximately 85% accuracy
Jupyter Notebook
2
star
64

PySpark-Airport-Data-Analysis

Running some Spark SQL queries to answers some of the important use cases of this dataset
Python
2
star
65

Forecasting-Inflation-using-VAR-Model

Jupyter Notebook
2
star
66

Quantitative-Finance---Technical-Analysis-to-VaR-uisng-Indian-Stocks

Quantitative Finance - Technical Analysis to VaR uisng Indian Stocks
Jupyter Notebook
2
star
67

CoVIDRBI

Python
2
star
68

Portfolio-simulation-efficient-frontier-MPT-using-Python

Tha user has to specify: the list of symbols of stocks or the ETFs of interest  Recommended max number of entries: 10 a short description of each stocks or ETFs (in the same order as above) the number of portolios she/he wants to simulate. Recommended number of portfolios to simulate > 5000
Jupyter Notebook
2
star
69

Marks-Prediction-based-on-study-hours-using-machine-learning.

Jupyter Notebook
2
star
70

MyResume

Resume
1
star
71

My-First-Android-App

1
star
72

Pandas-Introduction

here you can find notes of data analysis using pandas
1
star
73

GUI-Calculator-App

I created an App which is GUI based calculator using tkinter in python
1
star
74

hull_white_swap_project

Julia
1
star
75

IRSim

Python
1
star
76

Finalytics-App

Financial App analysis on the go
Kotlin
1
star
77

Nashpy-deomnstration

1
star
78

Myntra-reviews-analysis-using-LDA-topic-modelling-in-machine-learning

1
star
79

Financial-Analytics-Assignment-2-Prophet-Model

Jupyter Notebook
1
star
80

Web-App-using-Dash

This is my first web app created using Dash package in python
Jupyter Notebook
1
star
81

Check-file-similarity-using-this-code-

Hi, Sometimes we have a number of programming files(let’s say 20) in which some lines of codes are common. So we need to check how much percentage of similarity index between different combinations. Today I am going to give you a simple way to check the similarity percentage between python files or any files in general.Always be sure , your files should in a folder and folder should be in correct directory. Just run the above shared code and see the magic you will get csv file containing similarity value between the files.
Python
1
star
82

PyBlackScholes

Python
1
star
83

BermudaOptionPricer

C++
1
star
84

simple-chatbot-using-python-NLP

Jupyter Notebook
1
star
85

timeseries_mc

Python
1
star
86

Elevated-default-risk-across-bond-markets-changes-in-interest-rates

Jupyter Notebook
1
star
87

Discretization-Methods-for-Geometric-Brownian-Motion

Python
1
star
88

PyFinance

Python
1
star
89

Data-Science-Projects

Jupyter Notebook
1
star
90

Handwriting-Digits-Recognizer

I got 99.6% accuracy and i used random forest model. Machine is now able to predict the digits
Jupyter Notebook
1
star
91

Historical-analysis-of-the-Forex-market-USD-INR-using-Python

The foreign exchange market has seen significant movement in recent years. The dollar has appreciated in value relative to other currencies, especially compared to the yen. In this article we will use historical data to analyze how the dollar has changed and whether there is a relationship between the dollar and INR and Indian interest rates. The analysis will be conducted using Python. Throughout this article we will learn 1. How to get and analyze financial data 2. How Dollar-Yen exchange rate have been changing 3. Relationship between the U.S.-Japan interest rate differential and the exchange rate
Jupyter Notebook
1
star
92

Regulatory-Capital-Calculation

Python
1
star
93

Times-series-Forecasting-using-ARIMA-Model

Jupyter Notebook
1
star
94

Create-Beautiful-Financial-Data-Charts-in-R

1
star
95

Option-Pricing-GBM-vs-fGBM

Python
1
star
96

QuadraticGaussianModelSimulator

C++
1
star
97

Benchmarking-Pandas-CUDF-and-Polars

Jupyter Notebook
1
star
98

ZIGRAM_Data-Science_Work

Jupyter Notebook
1
star
99

NumericalPDESolver

Python
1
star
100

Financial-Economics-Project

Jupyter Notebook
1
star